Yorktown, TX
Yorktown wildfire risk explained
USFS's Wildfire Risk to Communities model puts Yorktown at the 69th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,477 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Yorktown's burn probability — fire likelihood with no building count factored in — sits at the 70th percentile nationally.
Where Yorktown's buildings actually sit
1,477 buildings are counted in Yorktown, and 66% of them are Indirect exposure — ember-driven risk rather than the 34% in Direct exposure or the 0% rated Minimal.
How Yorktown compares
Yorktown ranks lower within Texas (29th percentile statewide) than its 69th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Yorktown ranks 9,786 for wildfire risk (1 is highest) and 9,277 by building count (1 is largest). Within Texas alone, it ranks 1,282 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Yorktown
Yorktown's 69th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Yorktown
Yorktown's 66% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Yorktown's figures come from
Every one of the two percentiles behind Yorktown's 9,786-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Yorktown's dominant indirect exposure actually means, with real examples from across the dataset.